Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for prod...
Κύριοι συγγραφείς: | , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2016.
|
Σειρά: | SpringerBriefs in Energy,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Justification
- Solar Energy
- Solar Energy
- Importance
- Benefits of Solar energy
- MCDM
- Definitions
- Applications
- Artificial Neural Network
- Definition
- Development Procedure of Models
- Development of the Feasibility Model
- Application of MCDM
- Development of Feasibility Index
- Model Validation of the Model
- Sensitivity Analysis
- Case Studies
- Locations
- Why this location ?
- Results and Discussion
- MCDM Results
- ANN Results
- Conclusion.